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Swiss Re partners with SAS to embed AI catastrophe risk data
The deal is designed to let insurers incorporate more current catastrophe information into underwriting, pricing, and portfolio management via CatNet integrated into SAS workflows.
Swiss Re, the global reinsurance provider, has entered a strategic partnership with SAS to help insurers improve how they assess, price, and manage risk using AI and natural catastrophe intelligence. Under the agreement, Swiss Re will combine its catastrophe risk expertise, including CatNet natural catastrophe intelligence, with SAS AI, analytics, and actuarial modelling capabilities. The companies said the collaboration is intended to help insurers incorporate more up to date risk information into underwriting, pricing, and portfolio management.
Swiss Re also plans to join the SAS Strategic Technology Partner Program, with CatNet data integrated into SAS Insurance Life Cycle Accelerator so insurers can access catastrophe risk information within existing actuarial and underwriting processes. The companies said secure APIs and geocoding would connect hazard data to underwriting and actuarial workflows, reducing manual data transfers and processing.
The partnership targets secondary peril risks such as floods, hailstorms, and wildfires, which Swiss Re said are increasingly important for insurers managing portfolios. According to Swiss Re Institute research, 99.9% of insured catastrophe losses in the United States in 2025 are expected to come from secondary peril events, while the offering also aims to support automated decision making using machine learning and current hazard information.